Publikation:

WESH : Web-based Exploration of Stars and their History

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2025

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2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 21-22. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00015

Zusammenfassung

The VAST Challenge 2025 presents a scenario in which music journalist Silas Reed investigates the evolution of Oceanus Folk and the career of Sailor Shift, an artist whose rise has brought global attention to a genre once confined to its island origins. To support this investigation, we developed WESH (Web-based Exploration of Stars and their History) a visual analytics system that combines knowledge-graph modeling with interactive visualizations of influence, collaboration, and genre dynamics. Our approach enables multifaceted analysis of artist trajectories and genre development over time. Through different views and temporal filtering, users can investigate patterns of collaboration, trace influence paths, and explore the changing role of Oceanus Folk within the wider music ecosystem.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

VAST Challenge 2025, Mini-Challenge 1, Visual Analytics, Knowledge Graphs, Influence Analysis, Oceanus Folk

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2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge), 3. Nov. 2025, Vienna, Austria
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ISO 690HANGG, Andreas, Maximilian OPEL, Jan DE BOER, Daniel A. KEIM, Lucas JOOS, Julius RAUSCHER, 2025. WESH : Web-based Exploration of Stars and their History. 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Vienna, Austria, 3. Nov. 2025. In: 2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge). Piscataway, NJ: IEEE, 2025, S. 21-22. ISBN 979-8-3315-9090-1. Verfügbar unter: doi: 10.1109/vast-challenge69463.2025.00015
BibTex
@inproceedings{Hangg2025-11-03Webba-76304,
  title={WESH : Web-based Exploration of Stars and their History},
  year={2025},
  doi={10.1109/vast-challenge69463.2025.00015},
  isbn={979-8-3315-9090-1},
  address={Piscataway, NJ},
  publisher={IEEE},
  booktitle={2025 IEEE Visual Analytics Science and Technology Challenge (VAST Challenge)},
  pages={21--22},
  author={Hangg, Andreas and Opel, Maximilian and de Boer, Jan and Keim, Daniel A. and Joos, Lucas and Rauscher, Julius}
}
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